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About the Role

Fan Engagement Data Science turns fan behavior into strategies that shape how millions of fans experience the NFL. In this role, you'll partner with NYC teams and stakeholders across Marketing, DTC, and Consumer Insights, while leading a distributed offshore delivery team to turn ambiguous ideas into high-impact analytics. You’ll work end-to-end, from framing questions to presenting answers to senior leaders, on a fast-moving team delivering against one of the NFL's biggest fan engagement programs.

Responsibilities

Translate ambiguous business questions from Marketing, DTC, and Consumer Insights stakeholders into scoped, high-impact analytical work.
Lead and coach a distributed offshore delivery team, keeping quality, pace, and prioritization on track.
Own work end-to-end — from framing a hypothesis to presenting recommendations directly to Director- and VP-level stakeholders.
Build strong partnerships across marketing, technology, BI, and data engineering as a trusted analytics voice.
Design segmentation, predictive models, and experiments (A/B tests) that convert fan behavior into targeted, actionable marketing strategies.
Apply GenAI/LLM-assisted analytics tools, within governed workflows, to move faster from data to insight.
Define and manage KPIs for fan engagement, partnering with the BI Center of Excellence to expand access to insight across the org.
Champion data quality and integrity across every initiative.

Requirements

7+ years in customer or fan data analytics, with a strong track record of translating data into marketing strategy.
Experience turning ambiguous business questions into scoped, delivery-ready analytical work.
Experience leading or closely partnering with distributed or offshore teams.
Confident, clear communicator — comfortable presenting directly to senior stakeholders.
Advanced SQL and Python; working knowledge of ML frameworks and GenAI/LLM-based analytics tools.
Bachelor's or Master's degree in Data Science, Business Analytics, Computer Science, Economics, Statistics, or a related field.
Understanding of data management principles, including identity resolution and marketing consent.
Hands-on experience with a modern cloud data stack (e.g., AWS, Snowflake, or Databricks).
Experience with customer data platforms (Adobe Experience Platform, or similar).
Familiarity with PII management and data privacy practices.
Experience with governed AI-assisted analytics workflows.
Familiarity with data observability tooling (e.g., Monte Carlo, Atlan).

Skills

SQL
Python
ML frameworks
GenAI/LLM-based analytics tools
Data management principles
Identity resolution
Marketing consent
Cloud data stack (AWS, Snowflake, or Databricks)
Customer data platforms (Adobe Experience Platform, or similar)
PII management
Data privacy practices
Governed AI-assisted analytics workflows
Data observability tooling (Monte Carlo, Atlan)

Location

Work Type

Onsite

Experience Level

7+ years

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

$130,000—$180,000 USD

Benefits

Comprehensive benefits offerings

About the Company

The NFL is committed to building an inclusive work environment that reflects our incredible fan base.
NFL Core Values: Respect, Integrity, Team Responsibility, Resiliency.
NFL Leadership Attributes: Build Talent, Execute, Inspire, Live Our Values, Know the Business, Think Big.
Talent Attributes: Enthusiastic, proactive can-do attitude, grit, free from ego or entitlement, relationship builder, influence, eager learner, driven by passion, incredible work ethic, agile mindset.

Equal Opportunity

We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws.